Why Predictable Costs and Enforceable Accuracy SLAs Define the Real Alternative to Managed Document AI Services
Vendors get paid whether extraction works or not; enforceable accuracy SLAs shift the risk.
Vendors get paid whether extraction works or not; enforceable accuracy SLAs shift the risk.
Vendors must guarantee accuracy field by field, not just uptime.
Idempotent processing and deterministic keys prevent duplicates from corrupting financial records.
Building a production pipeline is far more work than extracting data from a demo document.
How to test document extraction APIs against your actual workload before production.
Distinguish transient failures from permanent ones before deciding whether to retry.
Well-designed schemas catch extraction errors before they propagate downstream, not after.
Separate document ingestion from extraction work to handle long-running jobs reliably.
Defining what "correct" means is harder than checking model output against it.
Vendors get paid only when extraction succeeds, aligning incentives with accuracy.
Field-level accuracy matters more than overall OCR scores in production environments.
Contracts must measure what matters: accuracy in extracted data, not just uptime.